基于分子相互作用网络的水稻砷胁迫响应途径研究

Fuyan Hu, Xingming Zhao, Luonan Chen, Kun He, Le Lu, Yongwei Cao, Jingdong Liu
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引用次数: 1

摘要

随着工业技术的发展,人类正在遭受重金属的污染。砷是一种微量的毒素元素,已成为水稻吸收砷的潜在威胁。确定砷胁迫诱导水稻的信号通路有助于我们了解砷如何影响水稻的生物系统。本文基于水稻分子相互作用网络,利用计算方法确定了砷在水稻中诱导的信号通路。功能富集分析表明,该信号通路与水稻砷酸盐胁迫有关。
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Identifying rice arsenic stress response pathways based on molecular interaction network
With the development of industrial technology, human beings are suffering from the pollution of heavy metals. Arsenic is a trace element of toxin, which has become a potential threat to rice that assimilates arsenic. Identifying the signaling pathways induced by arsenate stress in rice can help us understand how arsenic affects the biological systems of rice. In this article, based on rice molecular interaction network, we identified the signaling pathways induced by arsenic in rice with a computational approach. Functional enrichment analysis indicates that the predicted signaling pathway is related to arsenate stress in rice.
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